摘要：SummaryPatients with cancer with different molecular characterization and subtypes result in different response to anticancer therapeutics and survival. To identify features that are associated with prognosis is essential to precision medicine by providing clues for target identification, drug discovery. Here, we developed a tumor online prognostic analysis platform (ToPP) which integrated eight multi-omics features and clinical data from 68 cancer projects. It provides multiple approaches for customized prognostic studies, including 1) Prognostic analysis based on multi-omics features and clinical characteristics; 2) Automatic construction of prognostic model; 3) Pancancer prognostic analysis in multi-omics data; 4) Explore the impact of different levels of feature combinations on patient prognosis; 5) More sophisticated prognostic analysis according to regulatory network. ToPP provides a comprehensive source and easy-to-use interface for tumor prognosis research, with one-stop service of multi-omics, subtyping, and online prognostic modeling. The web server is freely available athttp://www.biostatistics.online/topp/index.php.Graphical abstractDisplay OmittedHighlights•ToPP platform integrated eight multi-omics and clinical data from 68 cancer projects•ToPP provides multi-omics combination and subgroup selection for prognostic analysis•ToPP provides automatic construction of prognostic model for public and custom data•Users can perform prognostic analysis based on regulatory network or pathways in ToPPOncology; Public health; Microbiome
